Orchest vs KNIME: What are the differences?
Orchest: An open source tool for creating data science pipelines. It is a web-based data science tool that works on top of your filesystem allowing you to use your editor of choice. With Orchest you get to focus on visually building and iterating on your pipeline ideas. Under the hood Orchest runs a collection of containers to provide a scalable platform that can run on your laptop as well as on a large scale cloud cluster; KNIME: Create and productionize data science using one easy and intuitive environment. It is a free and open-source data analytics, reporting and integration platform. KNIME integrates various components for machine learning and data mining through its modular data pipelining concept.
Orchest and KNIME belong to "Data Science Tools" category of the tech stack.
Some of the features offered by Orchest are:
- Visual pipeline editor
- Executable notebooks
- Open source
On the other hand, KNIME provides the following key features:
- Access, merge, and transform all of your data
- Make sense of your data with the tools you choose
- Support enterprise-wide data science practices